• Acta Optica Sinica
  • Vol. 38, Issue 7, 0710001 (2018)
Jianjun Mei* and Wei Zhang
Author Affiliations
  • School of Microelectronics, Tianjin University, Tianjin 300072, China
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    DOI: 10.3788/AOS201838.0710001 Cite this Article Set citation alerts
    Jianjun Mei, Wei Zhang. Early Fire Detection Algorithm Based on ViBe and Machine Learning[J]. Acta Optica Sinica, 2018, 38(7): 0710001 Copy Citation Text show less
    Flow chart of algorithm
    Fig. 1. Flow chart of algorithm
    ViBe motion test results. (a) Background model; (b) test results after background update; (c) test results of improved ViBe algorithm
    Fig. 2. ViBe motion test results. (a) Background model; (b) test results after background update; (c) test results of improved ViBe algorithm
    Foreground detection results. (a) Original image; (b) foreground area mask detected by algorithm in Ref. [12]; (c) foreground area mask detected by proposed algorithm
    Fig. 3. Foreground detection results. (a) Original image; (b) foreground area mask detected by algorithm in Ref. [12]; (c) foreground area mask detected by proposed algorithm
    Test video of fire and interference
    Fig. 4. Test video of fire and interference
    Public datasets
    Fig. 5. Public datasets
    Comparison of experimental results
    Fig. 6. Comparison of experimental results
    ItemReal fire videoExperimental fire video
    V1V2V3V4V5V6V7V8
    TPR /%87.591.690.282.598.295.496.393.6
    FPR /%00000000
    Δt23.48.514.187.350.360.4254.311.4
    Δt34.349.454.2911.750.450.515.121.52
    Δt44.449.564.411.880.540.5955.252.53
    Δt54.559.664.51120.630.685.362.63
    Table 1. Fire detection rate and response time tests of algorithm
    ItemV9V10V11V12
    TNR/%10098.497.297.0
    FNR/%0000
    N=20133
    N=30022
    N=40000
    N=50000
    Table 2. False positive rate test of algorithm
    Jianjun Mei, Wei Zhang. Early Fire Detection Algorithm Based on ViBe and Machine Learning[J]. Acta Optica Sinica, 2018, 38(7): 0710001
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